{"id":"W2299109707","doi":"10.18438/b8233j","title":"The Impact of Off-Site Storage on Core Special Collections Activities","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Special collections; World Wide Web; Library science; Web site; Computer science; Microsoft excel; Data collection; The Internet; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005329121,0.0004197257,0.0005023214,0.004617298,0.003208675,0.008757471,0.002034486,0.0005764961,0.03511173],"category_scores_gemma":[0.02970873,0.0004164993,0.0007031313,0.008105905,0.002195729,0.006633995,0.007324228,0.001070546,0.004651702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004421354,"about_ca_system_score_gemma":0.004630085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399311,"about_ca_topic_score_gemma":0.02012349,"domain_scores_codex":[0.9898963,0.004646056,0.0009586806,0.0006326529,0.002737814,0.001128527],"domain_scores_gemma":[0.9577624,0.01937306,0.008809975,0.003905122,0.006711723,0.003437707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005679822,0.0006139235,0.2647312,0.003359236,0.0001798564,0.00119788,0.06477495,0.0002842941,0.001754925,0.007371211,0.05595606,0.5992085],"study_design_scores_gemma":[0.00003168935,0.000398942,0.4805299,0.002931026,0.000139916,0.001720723,0.1249634,0.0003353748,0.002653055,0.002288783,0.3838733,0.0001339963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310009,0.01445452,0.001371903,0.005577977,0.0003624617,0.0001715444,0.002618171,0.0003926965,0.1440497],"genre_scores_gemma":[0.9592831,0.01175502,0.001673337,0.001009769,0.0003671156,0.0001049931,0.001473723,0.0002751962,0.02405789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03511173,"threshold_uncertainty_score":0.1174604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543738276740157,"score_gpt":0.2443090411294373,"score_spread":0.2288716583620357,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}